Senior AI Engineer

Location: Bethesda, MD, United States

Company

hirify.global is a public-sector consulting and information technology solutions provider supporting health, civilian, and national security missions.

What you will do

• Develop LLM-powered applications for retrieval, semantic search, summarization, document analysis, and decision support.
• Build RAG pipelines, embeddings, vector search, semantic retrieval, and Python-based production APIs.
• Implement prompt orchestration, context management, evaluation, source citation, grounding, output validation, guardrails, and access controls.
• Evaluate and optimize AI applications for accuracy, relevance, groundedness, latency, and reliability.
• Integrate AI services with databases, search platforms, APIs, and existing data pipelines.
• Collaborate with AI/ML, data engineering, data science, and software engineering teams while documenting architecture and operational procedures.

Requirements

• Hands-on experience developing applications with LLMs, RAG, semantic search, or generative AI.
• Strong Python, API development, retrieval, embeddings, vector search, prompt orchestration, and LLM evaluation skills.
• Experience implementing source citation, grounding, traceability, output validation, guardrails, logging, monitoring, and error handling.
• Experience integrating AI and LLM services with databases, APIs, search platforms, and data pipelines.
• Strong technical communication, documentation, problem-solving, and cross-functional collaboration skills.
• U.S. citizenship and ability to obtain and maintain Top Secret eligibility required; active Top Secret clearance highly preferred.

Nice to have

• Experience with Federal financial, grants, budget, payment, award oversight, or financial reporting data.
• Experience deploying AI applications in secure Federal, on-premises, cloud, or hybrid environments.
• Experience with open-source LLMs, AI/ML frameworks, vector databases, semantic search engines, or hybrid search architectures.
• Experience with Linux, PostgreSQL, Microsoft SQL Server, Kubernetes, Rancher, Jenkins, Azure DevOps, CI/CD, Java, or .NET.
• Knowledge of LLM observability, evaluation frameworks, prompt/version management, responsible AI, model governance, and data protection.

Culture & Benefits

• Work on Federal data analytics and AI modernization initiatives supporting health, civilian, and national security missions.
• Competitive compensation with opportunities for bonuses.
• Employer-paid health care and a 401(k) match.
• Training and professional development funds.
• Collaborative work with diverse AI/ML, data, and software engineering professionals.